An interior-point method for nonlinear optimization problems with locatable and separable nonsmoothness
Many real-world optimization models comprise nonconvex and nonsmooth functions leading to very hard classes of optimization models. In this article, a new interior-point method for the special, but practically relevant class of optimization problems with locatable and separable nonsmooth aspects is...
Guardado en:
Autor principal: | Martin Schmidt |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Elsevier
2015
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Materias: | |
Acceso en línea: | https://doaj.org/article/785d771eaa8a4122ab0d0d8943d3a2b5 |
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